882 results about "Air pollution" patented technology

The invention relates to the technical field of mining area pollution monitoring, and discloses an atmospheric pollution monitoring system based on a mining area and a monitoring method thereof.The atmospheric pollution monitoring system based on the mining area comprises the steps that firstly, geographic environment data, outdoor environment data and well area environment data are obtained through a network deployment module and stored; the real-time transmission module is used for preprocessing the acquired data and transmitting the preprocessed data to the comprehensive analysis module, and the comprehensive analysis module is used for analyzing the atmospheric pollution index, judging whether to send out pollution early warning or not according to the calculation result of the atmospheric pollution index, and sending out a pollution alarm signal under the condition that the pollution early warning needs to be sent out; the mining area air pollution monitoring system can comprehensively monitor the mining area air pollution in a multi-dimensional manner, accurately identify the main pollution source and the dynamic change of the main pollution source, break through the limitation of traditional fixed site monitoring, flexibly capture the spatial and temporal change of the mining area pollution, accurately identify the pollution source, improve the monitoring accuracy and improve the monitoring efficiency. And an alarm signal is sent timely.

The invention relates to the technical field of air pollution tracing, and particularly discloses an air pollution source accurate tracing method and system, and the system comprises a multi-source data monitoring module, a multi-source data analysis module, a pollution tracing comprehensive analysis module, a pollution diffusion model verification optimization module, and a pollution tracing analysis module. By comprehensively considering various factors, setting a proportionality coefficient to calculate a pollution traceability comprehensive index and comparing the pollution traceability comprehensive index with a threshold value, a pollution traceability area and a potential area can be effectively marked, simulation concentration is calculated according to actual parameters in combination with the verification and optimization process of a pollution diffusion model, a root-mean-square error is reduced by adjusting a source intensity value, and a pollution source diffusion coefficient is increased. According to the method, the model is continuously optimized, so that the model better fits the actual situation, finally, the real pollution source is determined according to the acceptable threshold value, scientific and accurate basis and method are provided for air pollution control, and improvement of the control efficiency and effect and improvement of the atmospheric environment quality are facilitated.

The invention relates to the technical field of air quality detection, in particular to an air quality risk early warning and treatment integrated method and system. The method comprises the following steps: acquiring regional air collection sample data, analyzing the evolution difference of air components among regions, and determining the dynamic response characteristics of air dominant factors; air multi-period pollution superposition conditions are detected according to the dynamic response characteristics of the dominant factors, the air quality pollution risk growth trend is identified, and the ecological influence gradient growth trend is estimated; performing air quality risk assessment on the corrosion and aging trend of the peripheral equipment to obtain air quality abnormal state assessment data; abnormal conditions of air pollution sources are recognized, and pollution source grade classification is formed; formulating air quality treatment strategy data according to the abnormal risk data and the pollution source identification condition, and executing response treatment measures; through air quality risk early warning, air quality treatment is more efficient.

The invention discloses an atmospheric pollution trend analysis method and system, and relates to the technical field of atmospheric pollution trend analysis, and the method comprises the steps: collecting multi-source data in a target region, calculating the concentration change rate of all nodes by using the law of conservation of mass, updating the concentration of the nodes by using an Euler method, and inputting the updated concentration of the nodes into a pre-trained GCN model, calculating the optimized concentration and production abnormity list; modulating a propagation weight by using a Hebbian learning rule, modulating the optimized concentration by using the modulated weight, calculating a joint concentration by using a conservation type path flux method, combining the joint concentration by using a weighted linear combination, and calculating the joint concentration; and constructing a long-short-term memory network model to predict the future trend of the pollutants. The space gridding and the graph neural network are introduced, the recognition and control capability of the pollution source is improved, and the prediction precision and reliability of the analysis model are enhanced by combining the diffusion flux model and the convection flux model.

The invention relates to the technical field of visualization of an air pollution information distribution state, in particular to a visualization method based on the air pollution information distribution state. The method comprises the following steps: acquiring atmospheric pollution information through a remote sensing technology to obtain atmospheric pollution data, and constructing an atmospheric pollution geographic position topological graph in combination with atmospheric pollution geographic feature analysis; through diffusion analysis and distribution state analysis, a pollutant hot spot area is further identified, the acid rain forming probability and air quality attenuation data are calculated, and therefore the pollution degree of a high-concentration area is evaluated; atmospheric pollution risk assessment is carried out through analysis of atmospheric pollution information abnormal data, and an assessment result is uploaded to a cloud platform for real-time early warning; according to the method, the air pollution distribution is identified and optimized, so that the air pollution information is identified more accurately.

The invention belongs to the technical field of asphalt pavement repairing, and particularly relates to a local repairing technology of an asphalt pavement, which comprises the following specific contents: detecting a disease range by adopting ground three-dimensional laser scanning or ground penetrating radar, determining a repairing boundary, sampling and detecting the aging degree, the moisture content and the grading type of the asphalt of the original pavement, and determining the repairing quality of the asphalt pavement. According to the method, the bonding strength of the repairing material and the asphalt layer of the original pavement is enhanced by heating and activating the interface of the original pavement and emulsifying the asphalt bonding layer, and matching the repairing material with the shrinkage coefficient of the original pavement and reinforcing and compacting the edge, so that the condition that the repaired position is cracked, loosened and damaged in a short time is avoided; warm-mixed asphalt is adopted, the heating temperature is reduced by 40-60 DEG C, cold-mixed emulsified asphalt is popularized, and the asphalt does not need to be heated, so that release of a large amount of volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs) and dust is effectively avoided, and air pollution is avoided.

An indoor air cleaning system is disclosed and includes an air pollution treatment device, and a networked cloud computing service device. The air pollution treatment device includes an air cleaning device, a central control and regulation device and a communication module for detecting, locating, circulating and filtering the air pollution in an indoor field. A gas detection module detects and transmits air pollution data to the communication module. The central control and regulation device communicates with and controls the gas detecting module, to control the air cleaning device for filtration. The networked cloud computing service device receives and stores the air pollution data to form an database. A control command is intelligently selected, and transmitted to the gas detection module. Consequently, the air cleaning device is controlled to filter the air pollution, and a gas state in the indoor field reaches a clean room requirement of ZAPClean Room 1˜9.

The invention discloses a space-time sandstorm event AI forecasting method fusing satellite remote sensing and meteorological data, and relates to the technical field of atmospheric pollution prediction and artificial intelligence. In order to solve the problem that multi-source space-time sand and dust data is difficult to model efficiently in the existing method, the invention designs a sand and dust storm forecasting model DustMama based on a multi-task architecture, and aims to predict the future PM10 concentration and the occurrence condition of the sand and dust storm through the combination of satellite remote sensing and meteorological data. The DustMama is composed of a space-time encoder, a feature aggregation layer and a task specific layer. The space-time encoder is combined with the visual Mamba and the three-dimensional convolutional network, so that the space-time dependent information in the multi-source data can be efficiently extracted. The feature aggregation layer adopts a global attention module to enhance the capability of the model in cross-dimension feature interaction. And the task specific layer is based on an independent two-dimensional convolution predictor so as to realize accurate prediction of different sand and dust tasks.

The invention relates to the field of park management, and particularly discloses a smart park management system and method based on the Internet of Things, and the method comprises the steps: firstly obtaining park air quality parameter data collected by a plurality of sensors and park noise parameter data, collected by a sound sensor, at a plurality of preset time points, and then employing a deep learning technology to carry out the recognition of the park air quality parameter data and the park noise parameter data; and feature extraction and correlation analysis are carried out on the two parameters, and finally, whether to send out park environment detection early warning is judged through a classifier, so that the air pollution problem is found in time, related personnel are helped to quickly respond, and the health of park residents is protected.

The invention provides phosphorus-doped hydrothermal synchronously-activated hierarchical pore green biochar, a preparation method thereof and application of the phosphorus-doped hydrothermal synchronously-activated hierarchical pore green biochar in formaldehyde adsorption, and belongs to the technical field of biomass resource high-value utilization and air pollution control. The preparation method comprises the following steps: mixing a biomass raw material with a phosphoric acid catalyst, carrying out hydrothermal carbonization reaction, carrying out solid-liquid separation on a reaction product after the reaction is finished, collecting a solid-phase material, drying, mixing with potassium hydroxide, activating, washing and drying the obtained product, and thus obtaining the phosphorus-doped hydrothermal synchronously-activated hierarchical porous green charcoal. Phosphoric acid is introduced in the hydrothermal stage to serve as a structure-directing agent and a doping source, uniform doping of phosphorus and coordinated regulation and control of a pore structure are achieved, a hierarchical pore channel system is formed in the subsequent activation process, and the physical adsorption and chemical fixation capacity of the biochar to formaldehyde molecules is greatly improved.

The invention discloses a tracing method and system for atmospheric pollution in a chemical industry park, and relates to the technical field of tracing of atmospheric pollution. The method comprises the following steps: determining at least one first pollution source according to an enterprise-pollutant-raw material incidence matrix and at least one pollutant in the chemical industry park; and according to the real-time pollutant concentration data and a Gaussian diffusion model simulation result, screening out an enterprise with a relatively high fitting degree with the real-time pollutant concentration data, and according to a screening result, determining at least one second pollution source. And determining at least one third pollution source according to the position of the at least one pollution source. And determining at least one fourth pollution source in the high-concentration change area. And determining a pollution traceability result. According to the invention, multi-source data are fused to trace the air pollution, the comprehensiveness and timeliness of the data are ensured, and the accuracy of pollution traceability can be improved.

The invention discloses an air pollution monitoring device for environmental protection, and relates to the technical field of air pollution monitoring, the air pollution monitoring device comprises a protection sweeping mechanism and an air monitoring mechanism, the protection sweeping mechanism comprises the air monitoring mechanism, the protection sweeping mechanism comprises a stable bottom plate, and the top of the stable bottom plate is fixedly connected with a protection cylinder. According to the air pollution monitoring device for environmental protection, through combined use of the protection sweeping mechanism and the air monitoring mechanism, a threaded rod can be used for driving two blocking and protecting frames to rotate, and in the process, a threaded sleeve and an air monitoring sensor are made to ascend and descend in a reciprocating mode to monitor air at different heights; and the air monitoring sensor can be protected through the arrangement of filtering air holes, dust and impurities are prevented from being attached to the surface of the air monitoring sensor, and meanwhile air storage is conducted on the air bag through pressing of an inflating pump and a convex top block.

The utility model relates to the field of waste gas purifiers, in particular to a waste gas purification device for hydrogen-oil-gas separation, which comprises a rectangular bottom plate, an oil-gas separation box is arranged on the bottom plate, a hydrogen purification tank is fixedly connected onto the bottom plate, and a filter box is fixedly connected onto the bottom plate. When the oil-gas separation device is used, oil can be separated through the oil-gas separation box, heavy oil flows out from the lower part of the oil-gas separation box through the oil outlet pipe, the first electromagnetic valve controls the oil to flow in the oil outlet pipe, and light waste gas enters the hydrogen purification tank from the first gas outlet pipe after being preliminarily filtered by the first filter screen; the palladium alloy separation pipe in the hydrogen purification tank is used for separating hydrogen in the waste gas, and the filter box is used for further filtering the waste gas after hydrogen purification, so that the filter effect is better, air pollution is avoided, and the hydrogen in the waste gas can be recycled.

The invention discloses an urban air pollution early warning method based on meteorological and environmental monitoring data, which relates to the technical field of environmental monitoring, and comprises the following steps: setting a monitoring period and a monitoring area, and establishing an air pollution early warning model according to historical data characteristics; establishing an urban air pollution early warning strategy of the current monitoring period according to the data characteristics predicted by the air pollution early warning model; when the real-time data characteristics of the monitoring area do not conform to the urban air pollution early warning strategy of the current monitoring period, a sentinel node is arranged in the monitoring area, the sentinel node sends detection data to the adjacent monitoring area at regular time, and a real-time data sharing channel is established between the monitoring area and the adjacent monitoring area; the quantitative data of migration and diffusion of pollutants in the atmospheric environment are obtained through the real-time data sharing channel, the air pollution early warning model of the current monitoring period is dynamically adjusted, the urban air pollution early warning strategy of the remaining time period of the current monitoring period is updated, and the early warning accuracy of dynamic environmental pollution is improved.

The invention relates to the technical field of air pollution prevention and control, and discloses a dust removal device which is characterized in that an air inlet is formed in the upper position of the left end of a dust removal box body, a smoke chamber is arranged in the dust removal box body and communicated with the air inlet, the smoke chamber is provided with a partition plate with holes, and a plurality of sets of limiting cylinder grooves are longitudinally and obliquely formed in the dust removal box body at equal intervals; a drawer type filter cylinder is movably arranged in each group of limiting cylinder grooves, and a ventilation frame is formed between every two adjacent limiting cylinder grooves. By starting a second servo motor, on one hand, a small gear is driven to rotate clockwise, a driving gear is driven to rotate anticlockwise through a series of transmission, a rack rod is driven to move linearly, and therefore a drawer type filter cylinder moves towards a drawer opening along a limiting cylinder groove, and the purpose of automatically guiding out the drawer type filter cylinder is achieved; on the other hand, the small chain wheel rotates clockwise, the large chain wheel is dragged by the chain to decelerate, the overturning part is driven to slowly overturn upwards, and the sealing door is slowly opened upwards, so that the synchronization of the two movement processes is realized.

The invention provides multi-parameter air pollution real-time monitoring equipment, and relates to the technical field of air monitoring. A detection sensor is fixed on a bottom plate of the electric control box in a penetrating manner; a rectangular track frame is fixedly mounted below the electric control box; an abutting plate and a square blocking frame which are vertically arranged at an interval are formed in the rectangular track frame, a circular through hole is formed in the abutting plate in a penetrating mode, the abutting plate abuts against and makes contact with the bottom end of the detection sensor, and the circular through hole communicates with an opening in the bottom end of the detection sensor; a peripheral retaining frame is slidably mounted in the rectangular track frame, a metal filter screen is arranged in the peripheral retaining frame in a covering manner, and the metal filter screen is slidably matched with the interval space between the abutting plate and the square blocking frame in a penetrating manner and covers the bottom side opening of the circular through hole. Compared with the prior art, the method has the advantages that the tedious steps that the metal filter screen needs to be detached and taken down, and an external brushing tool is used for manually brushing and cleaning the blockage of the metal filter screen can be omitted, and the efficiency and convenience of the blockage cleaning operation of the metal filter screen can be improved.

The invention relates to the technical field of waste gas treatment, in particular to an atmospheric pollution waste gas purification method and system, and the purification effect is improved through concentration sequence analysis and gas-liquid efficiency fitting, dynamic adjustment of a liquid amount strategy, backtracking of a residual concentration generation evaluation window and matching of a thermal response material. According to the invention, through linkage analysis of pollutant concentration data at the outlet of the spray tower and physical parameters such as molecular polarity, spray liquid viscosity and the like, a gas-liquid contact efficiency offset evaluation mechanism based on a time sequence is established, and the ability of sensing the dynamic change of the purification performance is effectively improved. The concentration change trend is refined, so that different pollution fluctuation states are accurately divided, a multi-dimensional slope judgment method is introduced to realize classified induction of the contact efficiency trend, and scientific support is provided for subsequent liquid flow regulation and control. According to the gas-liquid efficiency change characteristics under different fluctuation sections, a dynamic adaptation strategy is set for the liquid amount adjustment direction and amplitude, and regulation and control logic highly coupled with the pollution trend is formed.

The invention relates to spraying equipment for preventing and controlling atmospheric pollution in the field of spraying devices, and through a plurality of nozzles mounted on a rotating ring and an inserting cylinder driven by an electric push rod, the nozzles are quickly replaced, the spray particle size is quickly and accurately adjusted, and the mode of manually replacing the nozzles is replaced; the spray particle size adjusting efficiency and accuracy are improved, the requirement of low-temperature weather for the fog drop particle size is met, fog drop icing is delayed, and the dust adsorption capacity of fog drops at the low temperature is improved; meanwhile, the spray particle size is detected in real time through a laser particle size instrument arranged on the front side of the air blowing cylinder, and when it is found that the spray particle size does not meet the requirement, early warning is given out in time to remind an operator to conduct maintenance, and waste of sedimentation liquid is reduced; in addition, by arranging a heating sleeve and a heat exchange pipe, the sedimentation liquid is preheated and heated in winter, the freezing speed of the fog drops is further delayed, the dust particle adsorption effect of the fog drops is improved, and energy is saved.

The invention discloses an unpowered air purification device based on electrostatic adsorption and negative ion effects, and relates to the technical field of air purification, the unpowered air purification device comprises a ventilation pipeline, an electrostatic adsorption module, a particle capture net, a negative ion release module and the like, a wind scooper guides airflow to enter the electrostatic adsorption module, and a friction ball rubs with an electrode plate to enable the electrode plate to be electrified; particulate matters in the air are adsorbed, falling particulate matters are collected by a liquid collecting box, residual particulate matters are further intercepted by a particulate capturing net, the elastic design is convenient for shaking off and cleaning, and the negative ion release module accelerates the generation of negative ions and purifies the air by utilizing the solar thermal conversion and piezoelectric effect. Efficient air purification is achieved through a multi-stage purification structure, the functions of humidity adjustment, intelligent reminding and the like are achieved, the structure is simple, energy conservation and environment protection are achieved, the device can adapt to various scenes, and an innovative scheme is provided for solving the air pollution problem.

The invention discloses a CO concentration vertical profile inversion method and system based on multi-source remote sensing data fusion. The method comprises the steps that CO column concentration data of a TROPOMI satellite, CO vertical profile mixing ratio data of an MOPITT satellite and ERA5 meteorological reanalysis data are acquired; constructing a training data set through space-time matching and space resampling; an XGBoost machine learning algorithm is used for establishing an estimation model with the TROPOMI column concentration and the ERA5 meteorological parameters as input and the MOPITT ten-layer vertical profile mixing ratio as an output target; and carrying out concentration estimation and data filling on the missing region by adopting the trained model, and generating a CO vertical profile reconstruction data set with high space coverage. According to the method, through multi-source data fusion and intelligent algorithm modeling, the space-time continuity and precision of CO vertical distribution data are remarkably improved, the technical problems that traditional satellite data coverage is insufficient and vertical information is lost are solved, and high-reliability data support is provided for air pollution traceability, cross-regional transmission analysis and environmental governance.

The invention relates to an atmospheric environment management and control partition delimiting method and system based on GIS-big data, and the method comprises the steps: obtaining and processing ground monitoring data, satellite remote sensing data and meteorological data of a target region, constructing a pollutant concentration prediction model, and predicting the future pollutant concentration of the target region through the pollutant concentration prediction model; the diffusion and settlement processes of pollutants are simulated through the processed meteorological data and the topographic data of the target area, and a pollutant dynamic distribution diagram is constructed in combination with future pollutant concentration; a thermal inversion layer phenomenon is detected in the pollutant dynamic distribution diagram, and a pollutant accumulation area is marked; and according to the pollutant dynamic distribution map and the pollutant accumulation area, defining the boundary of the atmospheric environment management and control subarea by combining the ecological sensitive area, the industrial pollution source and the densely populated area of the target area. According to the method, time-space fusion of multi-source heterogeneous data can be realized, the pollutant concentration estimation precision is improved, and powerful support is provided for fine monitoring and scientific management and control of atmospheric pollution.

The invention discloses an air environment monitoring data identification system and method, and belongs to the technical field of environment monitoring, and the method specifically comprises the steps: obtaining air pollution prevention whole process data, and carrying out the Hash processing to generate a data fingerprint; storing the data fragments to a distributed network, and generating a unique content identifier; constructing a Merkel-Partrexia tree in combination with the data fingerprints, the content identifiers and the key metadata to calculate root hash, and performing uplink evidence storage; the consistency of distributed data under the chain is verified based on the on-chain root hash, and the data integrity is ensured through a sampling verification strategy; and the requester applies for an access permission through the smart contract, obtains the data content identifier and the storage node information after permission verification, and accesses a record to be chained for evidence storage. According to the invention, through a cooperative verification mechanism of the Merkel-Parene tree and the block chain, the traceability and tamper resistance of the full life cycle of the data are realized, and the data security and sharing efficiency are improved.

The invention discloses an atmospheric pollution source positioning and monitoring device, and belongs to the technical field of environmental protection, the atmospheric pollution source positioning and monitoring device comprises a fixed shell, a positioning radar is fixedly mounted on the fixed shell, a radar protection shell is fixedly mounted on the outer side of the positioning radar, and a detection device is fixedly mounted in the fixed shell. A fixed through opening is formed in the fixed shell, a motor is fixedly connected to the inner wall of the fixed shell, a rotating rod is fixedly connected to the output end of the motor, and fan blades are fixedly connected to the rotating rod in a sleeving mode; and the cleaning structure comprises mounting blocks fixedly connected to the side wall of the fixed shell, and a limiting rod and a reciprocating lead screw are rotationally connected between the mounting blocks. By means of the cleaning plate, the radar protection shell can be cleaned in the positioning monitoring process, it is avoided that sundries such as water drops, dust and metal particles fall onto the radar protection shell, normal work of a radar is affected, and positioning monitoring is facilitated.

The invention is suitable for the technical field of power detection, and provides a flashover discharge early warning method of a high-voltage cable terminal for a motor train unit, electronic equipment and a storage medium, and the method comprises the steps: constructing a flashover discharge test loop; environmental parameter critical values of flashover discharge of the high-voltage cable terminal for the motor train unit are determined through a flashover discharge test loop, and the environmental parameter critical values comprise a humidity critical value and an air pollution degree critical value; collecting current environment parameter values of the high-voltage cable terminal for the motor train unit, wherein the current environment parameter values comprise an air humidity value and an air pollution degree value at the current moment; and carrying out flashover discharge early warning based on the current environment parameter value and the environment parameter critical value. According to the technical scheme provided by the embodiment of the invention, the early warning of the flashover discharge of the high-voltage cable terminal for the motor train unit is realized, the flashover discharge is effectively avoided, and the safety of a power system of the motor train unit is ensured.

This invention relates to the field of special agents for treating air pollution, specifically to a rare earth water-based environmentally friendly urea crystal remover for vehicles and its preparation method. The raw materials for preparing the rare earth water-based environmentally friendly urea crystal remover for vehicles, by weight, include: 0.005-0.2 parts rare earth-based catalyst, 3-10 parts surfactant, 1-3 parts dispersant, 5-10 parts stabilizer, and 80-100 parts deionized water; wherein the rare earth-based catalyst includes at least a cerium-based catalyst. The urea crystal remover provided by this invention has excellent performance, effectively removing urea crystals, and the cerium emission concentration is far below the requirements of the EURO 7 draft (EURO 7 does not require cerium). NOx conversion rate is significantly improved, making it more suitable for vehicles using high-sulfur fuels, and greatly benefiting the control of air pollution from mobile sources. It is also environmentally safe and environmentally friendly.

This invention relates to the field of air pollution control technology, and in particular to a spray tower for effectively purifying air pollution. The spray tower includes an air inlet fixed to the bottom of one side, a suction hood fixed to the upper surface of the spray tower, and an exhaust pipe fixed to the top of the suction hood. An anti-clogging recovery component and a spraying mechanism are installed inside the spray tower, and a collection box is fixed to one side of the spray tower corresponding to the position of the anti-clogging recovery component. This invention utilizes a spray pipe mechanism to enhance the rate of the neutralization reaction through the synchronous rotation of a rotating disk and a rotating block, and enhances the spatial separation of the two solutions through centrifugal force, reducing cross-mixing. This avoids ineffective neutralization of acid and alkali solutions and achieves continuous and efficient treatment. Combined with the anti-clogging recovery component, the activated carbon balls inside the fixed cylinder are promptly recovered and cleaned, ensuring that efficiency is not reduced due to clogging during air pollution purification, and preventing ineffective adsorption of activated carbon balls due to prolonged use.

The invention relates to the technical field of welding equipment, and discloses steel product gas shielded welding equipment which comprises a machining table, a continuous automatic welding mechanism, a synchronous filtering and dust collecting mechanism and a flow adjusting mechanism. Side plates are vertically and fixedly arranged on the two sides of the top of the machining table, and a top plate is fixedly arranged on the tops of the side plates. According to the gas shielded welding equipment for the steel products, constant-speed automatic welding of the workpieces is achieved through the constant-speed automatic welding mechanism, and the situation that the welding quality is affected due to unstable connection of weld joints of welding rods and the workpieces due to the uneven welding speed is avoided; when the constant-speed automatic welding mechanism operates, the synchronous filtering and dust collecting mechanism is driven to collect and treat smoke generated during welding, air pollution caused by the smoke is avoided, and when the synchronous filtering and dust collecting mechanism operates, the flow adjusting mechanism is driven to automatically adjust the flow of protective gas. And instability of a protective dielectric layer formed by protective gas when the welding speed is different is avoided, so that the protective effect on the weld joint is improved.

The invention relates to the technical field of air pollution prevention and control, and discloses a tail gas drying device based on sorbic acid production process, which comprises two groups of drying tanks which alternately operate, the two groups of drying tanks are respectively used as an adsorption tank and a desorption tank, a drying inner cylinder penetrates through the tanks, and an interlayer cavity is enclosed by a first separation assembly and a second separation assembly in the cylinder; the interior is divided into three groups of adsorbent bed layers; the lifting assembly drives the second separation assembly to ascend and descend, and the bed space, the cavity volume and the air outlet size can be dynamically adjusted according to the swelling and shrinking state of an adsorbent in the early and later periods of desorption, so that the problems that an existing drying tank is large in flow resistance due to direct filling of the adsorbent and poor in desorption efficiency are solved; layered design and cavity blocking reduce airflow resistance, secondary adsorption of the lower layer is avoided, sufficient desorption is guaranteed through dynamic adjustment, the desorption efficiency can be improved, the period is shortened, the service life of an adsorbent is prolonged, and continuous and stable tail gas drying is guaranteed.

The invention discloses a method for constructing a health influence prediction model based on multi-source air data coupling, and relates to the technical field of air quality health monitoring, and the method comprises the steps: obtaining multi-source air environment data in a selected space as an environment index, and obtaining a multi-source physiological signal of a person in the selected space as a physiological index; on the basis of the feature vectors of the environment indexes and the physiological indexes, the coupling relation between the air environment features and the physiological features is constructed, modeling is conducted on the nonlinear coupling relation between the air features and the physiological features through a time sequence deep learning model, and the action rule of air pollution accumulative exposure on dynamic changes of the physiological indexes is captured. Through feature extraction and cross-modal coupling, the comprehensive influence rule of air pollution on the blood pressure, blood oxygen, body temperature, heart rate, heart rate variability and blood glucose physiological indexes of the human body can be revealed, and dynamic prediction of health risks can be achieved through a deep learning model.

The invention relates to a PM2.5 concentration prediction method based on RF-RFE and TCN-BiLSTM-Attention, and belongs to the technical field of atmospheric environment monitoring. According to the method, firstly, PM2.5 concentration monitoring data and data of related influence factors such as weather, other pollutants and time characteristics are preprocessed, recursive feature elimination (RFE) is combined with random forest (RF) for feature screening, and a time sequence input sequence is constructed; extracting local time sequence features of the sequence through a time convolutional network (TCN), and capturing bidirectional long-range time sequence dependence features of the sequence by using a bidirectional long-short-term memory network (BiLSTM); an attention mechanism is introduced to endow a BiLSTM output feature vector sequence with a differentiation weight, and key time sequence feature contribution is highlighted; and finally, outputting a PM2.5 concentration predicted value through a full connection layer, and completing model training and optimization based on the training set and the verification set. According to the method, the advantages of TCN, BiLSTM and Attention mechanisms are combined, the precision and stability of PM2.5 prediction are improved, and the method can be widely applied to atmospheric pollution early warning and environmental governance decision making.